Description: 边缘检测法和阈值分割法，是图像分割技术应用中两项重要的方法。本文介绍了图像边缘检测和阈值分割的一般原理、典型算法以及研究现状。本文针对边缘检测算子和几种阈值分割技术进行了详细讨论。针对火柴根数统计和钢筋根数统计两个实验，在详细分析检测原理的基础上，编写了相应的实验并给出了实验结果。-Edge detection and thresholding method, image segmentation is an important technology in two ways. This article describes the general principles of image edge detection and thresholding, the typical algorithms and research status. In this paper, several edge detection operator and thresholding techniques are discussed in detail. Statistics for the number of matches and reinforced the number two experimental statistics, based on a detailed analysis of the detection principle, write the corresponding experimental and experimental results are given. Platform: |
Size: 3258368 |
Author:Ray |
Hits:
Description: The implemented Sauvola method uses integral images for fast computation of the threshold function.
The Sauvola method is described in:
J. Sauvola and M. Pietikainen, Adaptive document image binarization, Pattern Recognition 33, 2000. - http://www.mediateam.oulu.fi/publications/pdf/24.pdf
The modification which uses integral images providing a 20-fold speedup (according to the paper) is described in this paper:
F. Shafait, D. Keysers, and T. M. Breuel, Efficient implementation of local adaptive thresholding techniques using integral images, Document Recognition and Retri XV, 2008 - http://www.dfki.uni-kl.de/~shafait/papers/Shafait-efficient-binarization-SPIE08.pdf
A paper uating binarization methods:
P. Stathis, E. Kavallieratou and N. Papamarkos - An Evaluation Technique for Binarization Algorithms, Journal of Universal Computer Science, 2008, - http://www.papamarkos.gr/uploaded-files/An 20Evaluation 20Technique 20for 20Binarization 20Algorithms.pdf-The implemented Sauvola method uses integral images for fast computation of the threshold function.
The Sauvola method is described in:
J. Sauvola and M. Pietikainen, Adaptive document image binarization, Pattern Recognition 33, 2000. - http://www.mediateam.oulu.fi/publications/pdf/24.pdf
The modification which uses integral images providing a 20-fold speedup (according to the paper) is described in this paper:
F. Shafait, D. Keysers, and T. M. Breuel, Efficient implementation of local adaptive thresholding techniques using integral images, Document Recognition and Retri XV, 2008 - http://www.dfki.uni-kl.de/~shafait/papers/Shafait-efficient-binarization-SPIE08.pdf
A paper uating binarization methods:
P. Stathis, E. Kavallieratou and N. Papamarkos - An Evaluation Technique for Binarization Algorithms, Journal of Universal Computer Science, 2008, - http://www.papamarkos.gr/uploaded-files/An 20Evaluation 20Technique 20for 20Binarization 20Algorithms.pdf
Platform: |
Size: 5120 |
Author:yamina |
Hits:
Search - thresholding techniques for an image